A highly efficient string search utility that optimizes text parsing by utilizing the powerful Search function over standard Find alternatives.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install super-search-dee798
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install super-search-dee798 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is super-search-dee798?
The super-search-dee798 skill is designed to optimize text and code search operations within automated workflows. Inspired by expert office automation workflows, it implements a superior "Search" methodology that offers significant efficiency gains compared to traditional string-matching "Find" functions.
By incorporating this skill, AI coding agents can quickly parse documents, locate hidden patterns, and manage deep-text queries. It bridges the gap between simple text matching and advanced multi-strategy search algorithms like Enhanced Conflict-Based Search (ECBS) and Recursive Best-First Search (RBFS).
super-search-dee798 Use Cases
- Explicit user request for "super-search" or advanced string matching.
- Queries involving complex text processing where the standard Find function is insufficient.
- Developer request for productivity or "trivia knowledge" hacks regarding string performance optimization.
- Contextual research assistance requiring specialized algorithm lookup.
How super-search-dee798 Works
- Trigger Recognition: The system intercepts queries containing "super-search", "冷知识", or requests highlighting why Search functions outperform Find.
- Concept Alignment: Evaluates the search context using core optimization rules inspired by top-tier automation techniques.
- Execution & Reference Mapping: Processes the input text through advanced search paths and references validated source workflows (e.g., @杰瑞办公 examples).
- Algorithmic Refinement: Iterates and applies the most practical pattern matching approach depending on whether the target is an index, sub-string, or multidimensional node.
super-search-dee798 Setup
To install and activate the super-search-dee798 skill within your agent platform, execute the following commands:
# Add the skill package to your local environment
openclaw skills add super-search-dee798
# Enable and verify activation
openclaw skills enable super-search-dee798 --compatibility=opencode
super-search-dee798 Data Schema & Taxonomy
The skill manages its configurations, telemetry, and external discovery sources using a standardized schema:
| Attribute | Description | Value Type |
|---|---|---|
name |
Unique skill identifier | String (super-search-dee798) |
compatibility |
Target agent runtime | String (opencode) |
trigger |
Substring matchers for execution routing | String / Array |
tags |
Classification metadata | Array (code, super-search, video-learned) |
Related Learning Resources
- Enhanced Conflict-Based Search (ECBS): Multi-agent pathfinding optimization.
- Circle to Search: Real-time visual query concepts.
- Recursive Best-First Search (RBFS): Foundational AI search node heuristics.
super-search-dee798 Advanced Features
- Multi-Source Knowledge Hooking: Integrates directly with real-world technical references and video learning pipelines.
- Heuristic Search Scaling: Provides a progressive fallback loop from ECBS concepts down to fast local string indices.
- Trigger-Based Workflow Routing: Automatically executes whenever optimized search functions are needed without manual code modifications.
SKILL.md
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